Biological and Artificial Intelligence

Neuro140 | Neuro 240

Assignment 2

Due Feb 23, 2021

Goal/Learning Outcomes for students

Understanding the building blocks of a deep learning pipeline- data loading, model files, training/inference, evaluation. Most online tutorials teach how to run MNIST with a standard model architecture (say, ResNet). However, what if you want to modify the model to add a new feature? Run on a new dataset? Measure using a different evaluation metric? This assignment takes a first step towards setting you up to approach these questions. Over the course of the semester, you can build on this code-base and use it to work on your own project. 

Deliverables

Part 1: All students need to declare their project as part of Assignment 2! Please submit this on canvas. 

Part 2: If you’re in Track A: Run Assignment2.ipynb to the end. Download it as an HTML and submit it to canvas. Updating your forked repository is not a requirement for getting full credit. 

If you’re in Track B: You don’t need to submit anything in this assignment, if you submitted evidence of ML experience in Assignment 1

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